From Bites to Bytes: Evaluating User Engagement and Mosquito Bite Exposure Patterns with the Bite Diary Smartphone Application

从叮咬到数据:利用叮咬日记智能手机应用程序评估用户参与度和蚊虫叮咬暴露模式

阅读:1

Abstract

Mosquito-borne diseases, including malaria, dengue, chikungunya, and Zika, significantly impact global health. Traditional methods for monitoring human-mosquito contact, such as human landing catch (HLC) and DNA profiling, have limitations, including biases and a lack of detailed temporal and spatial data. HLC may also raise ethical concerns in some settings. To address these challenges, we developed Bite Diary, a smartphone app for systematically recording mosquito bite exposure. Research participants in eastern Florida attended workshops to learn about the project and mosquito identification. They then used a pilot version of Bite Diary over predefined 7-day periods to log mosquito bites, providing data on bite frequency, timing, and context. Finally, they completed an online questionnaire post-monitoring. The study found high levels of participant engagement, and the technical usability of the app was well-received. The estimated bite exposure rate was 0.62 mosquito bites per person per day (SD = 1.63), with 94% of bite records occurring outdoors. A significant correlation was observed between repellent use and self-reported bite reactions. Several design and interface elements requiring improvement were identified for future studies to reduce survey biases. These findings highlight the utility of bite surveys in evaluating human factors that affect mosquito bite exposure and enhancing our understanding of human-mosquito interactions. Our use of a no-code app builder for Bite Diary may enable other research groups to easily create similar surveys, broadening the potential for bite data collection in diverse settings. This tool could significantly aid in developing targeted strategies for mosquito-borne disease prevention and control.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。